# Analytics Engineer at TradingView

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own and maintain the dbt project end-to-

- **Company:** TradingView (https://jobs.trythestack.co/companies/tradingview)
- **Location:** Cyprus
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Dbt, SQL, Data modeling, Dimensional modeling, Data quality, Great expectations, Soda, Master data management, Reference data management, Semantic layer design, Canonical data modeling, Query optimization, RDBMS, S3, Data transformation
- **Posted by employer:** 2026-08-11
- **Added to The Stack:** 2026-08-11
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://tradingview.teamtailor.com/jobs/8204636-analytics-engineer (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/analytics-engineer-tradingview

## About the role

Responsibilities:
- Own and maintain the dbt project end-to-end: transformations across Bronze/Silver/Gold, reusable macros and project conventions.
- Consolidate legacy pipelines into standardized, testable dbt flows and enforce transformation standards across teams.
- Design and implement canonical data model and semantic (Gold) layer that powers analytics and frontend consumers.
- Implement data quality: dbt tests, Great Expectations or Soda checks across Silver and Gold to prevent regressions.
- Define golden-record determination and conflict-resolution strategies for master/reference data.
- Deliver transformed data to consumers and integrate Gold layer with internal systems and frontend pipelines.

Requirements:
- 4–6 years as an Analytics/Data Engineer with expert-level dbt experience (models, macros, tests, project structure).
- SQL mastery: modeling, query optimization and understanding of engine-level performance factors (partitions, indexes, layout).
- Hands-on experience with data quality tooling (dbt tests, Great Expectations, Soda) and implementing validation strategies.
- Experience designing canonical/semantic layers, dimensional modeling and master/reference data management.
- Comfortable translating logic from Go/Python into efficient SQL and working with multiple data sources (RDBMS, S3).
- Bonus: experience owning data platform components or exposure to market data/fintech.

## Responsibilities

You will own the dbt project end-to-end, including the transformation core, semantic layer, and canonical data model. Additionally, you will implement data quality checks and define transformation standards to enable self-service for internal teams.

## Requirements

The ideal candidate has 4 to 6 years of experience as an Analytics or Data Engineer with expert-level dbt and SQL skills. You must have deep experience in dimensional modeling, data quality tooling, and master data management strategies.

## FAQ

- **Is this Analytics Engineer role still open?** It was posted on 2026-08-11. Listings more than 30 days old may no longer be active, so check TradingView's site before applying.
- **Does TradingView offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on TradingView's site.
- **Where is this role located?** The listing gives the location as Cyprus. It is marked on-site.
- **What skills does this role ask for?** The listing names: Dbt, SQL, Data modeling, Dimensional modeling, Data quality, Great expectations, Soda, Master data management, Reference data management, Semantic layer design, Canonical data modeling, Query optimization, RDBMS, S3, Data transformation.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://tradingview.teamtailor.com/jobs/8204636-analytics-engineer). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "analytics-engineer-tradingview": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Analytics Engineer at TradingView, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/analytics-engineer-tradingview)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md
